Matthew DeVerna

570 total citations · 1 hit paper
12 papers, 284 citations indexed

About

Matthew DeVerna is a scholar working on Sociology and Political Science, Health and Artificial Intelligence. According to data from OpenAlex, Matthew DeVerna has authored 12 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 5 papers in Health and 4 papers in Artificial Intelligence. Recurrent topics in Matthew DeVerna's work include Misinformation and Its Impacts (11 papers), Vaccine Coverage and Hesitancy (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). Matthew DeVerna is often cited by papers focused on Misinformation and Its Impacts (11 papers), Vaccine Coverage and Hesitancy (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). Matthew DeVerna collaborates with scholars based in United States, Italy and Brazil. Matthew DeVerna's co-authors include Filippo Menczer, Kai‐Cheng Yang, Francesco Pierri, John Bryden, Brea L. Perry, Alessandro Flammini, David Axelrod, Christopher Torres-Lugo, Andrew M. Guess and Harry Yaojun Yan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Matthew DeVerna

11 papers receiving 270 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal

2022 144 citations Francesco Pierri, Brea L. Perry et al. Scientific Reports profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matthew DeVerna United States	7	231	129	96	63	27	12	284
Jieyu Ding Featherstone United States	8	285 1.2×	184 1.4×	99 1.0×	71 1.1×	16 0.6×	9	362
Wenjing Pian China	9	189 0.8×	73 0.6×	84 0.9×	60 1.0×	26 1.0×	13	373
Shadi Shahsavari United States	4	227 1.0×	59 0.5×	81 0.8×	52 0.8×	40 1.5×	6	265
Renée DiResta United States	12	230 1.0×	60 0.5×	103 1.1×	117 1.9×	37 1.4×	26	363
Yue Su China	7	233 1.0×	69 0.5×	131 1.4×	69 1.1×	28 1.0×	11	396
Pavan Holur United States	4	176 0.8×	57 0.4×	59 0.6×	38 0.6×	30 1.1×	9	209
Oleg Zhilin Canada	4	281 1.2×	93 0.7×	54 0.6×	116 1.8×	15 0.6×	6	403
Chenyan Jia United States	11	134 0.6×	50 0.4×	132 1.4×	69 1.1×	15 0.6×	23	300
Nicola Castaldo Italy	4	256 1.1×	84 0.7×	78 0.8×	69 1.1×	45 1.7×	7	371
Alicja Kubanek Poland	6	213 0.9×	101 0.8×	64 0.7×	68 1.1×	35 1.3×	12	363

Countries citing papers authored by Matthew DeVerna

Since Specialization

Citations

This map shows the geographic impact of Matthew DeVerna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew DeVerna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew DeVerna more than expected).

Fields of papers citing papers by Matthew DeVerna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew DeVerna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew DeVerna. The network helps show where Matthew DeVerna may publish in the future.

Co-authorship network of co-authors of Matthew DeVerna

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew DeVerna. A scholar is included among the top collaborators of Matthew DeVerna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew DeVerna. Matthew DeVerna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

DeVerna, Matthew, Francesco Pierri, Yong‐Yeol Ahn, et al.. (2025). Modeling the amplification of epidemic spread by individuals exposed to misinformation on social media. PubMed. 2(1). 11–11. 1 indexed citations

2.

DeVerna, Matthew, Harry Yaojun Yan, Kai‐Cheng Yang, & Filippo Menczer. (2024). Fact-checking information from large language models can decrease headline discernment. Proceedings of the National Academy of Sciences. 121(50). e2322823121–e2322823121. 16 indexed citations

3.

DeVerna, Matthew, et al.. (2024). Identifying and characterizing superspreaders of low-credibility content on Twitter. PLoS ONE. 19(5). e0302201–e0302201. 6 indexed citations

4.

Pierri, Francesco, et al.. (2024). Computational approaches for cyber social threats. EPJ Data Science. 13(1).

5.

DeVerna, Matthew, et al.. (2023). A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections. Proceedings of the International AAAI Conference on Web and Social Media. 17. 981–989. 5 indexed citations

6.

Yang, Kai‐Cheng, et al.. (2023). CySoc 2023: 4th International Workshop on Cyber Social Threats. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1307–1307. 1 indexed citations

7.

Pierri, Francesco, Matthew DeVerna, Kai‐Cheng Yang, et al.. (2023). One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study. Journal of Medical Internet Research. 25. e42227–e42227. 34 indexed citations

8.

Pierri, Francesco, Brea L. Perry, Matthew DeVerna, et al.. (2022). Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal. Scientific Reports. 12(1). 5966–5966. 144 indexed citations breakdown →

9.

DeVerna, Matthew, Andrew M. Guess, Adam J. Berinsky, Joshua A. Tucker, & John T. Jost. (2022). Rumors in Retweet: Ideological Asymmetry in the Failure to Correct Misinformation. Personality and Social Psychology Bulletin. 50(1). 3–17. 18 indexed citations

10.

DeVerna, Matthew, et al.. (2021). CoVaxxy: A global collection of English-language Twitter posts about COVID-19 vaccines. 3 indexed citations

11.

DeVerna, Matthew, Francesco Pierri, David Axelrod, et al.. (2021). CoVaxxy: A global collection of English Twitter posts about COVID-19 vaccines. Europe PMC (PubMed Central). 7 indexed citations

12.

DeVerna, Matthew, Francesco Pierri, David Axelrod, et al.. (2021). CoVaxxy: A Collection of English-Language Twitter Posts About COVID-19 Vaccines. Proceedings of the International AAAI Conference on Web and Social Media. 15. 992–999. 49 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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